Gender: Male 
Age: 35-44
Nationality: United States
Ethnicity: White / Caucasian 
Marital status: Divorced 
First language: English 
Religion: Christian 
Education: High school or below
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 4
Home: Rent 
Employment: Self-employed part time
Occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians);Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations);Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts);Plant and machine operators, and assemblers (those who maintain, operate and monitor industrial and agricultural machinery and equipment)
Mother's occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations);Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information);Plant and machine operators, and assemblers (those who maintain, operate and monitor industrial and agricultural machinery and equipment)
Father's occupation: Armed forces occupations (includes all jobs held by members of the armed forces);Craft related trades workers (those who produce or process foodstuffs, textiles, wooden, metal and other articles, including handicraft goods, and apply specific technical and practical knowledge and skills to construct and maintain buildings)
Hobbies: Listen to classical music;Listen to rock/indie music;Listen to hiphop and rap;Other (Please specify) read, marching arts, watch movies, play video games, spend time with friends and family
Devices used daily: Laptop;Smartphone;Tablet;Smartwatch 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools they would find useful: Other (specify) I'm not sure if any of them fall under scare performance, its more like too high cost.
Frequency of LLM use: Nearly every day
LLMs used: ChatGPT;Google Gemini;Grok;Other Co-Pilot
LLM use cases: Translation;Brainstorming;Writing (e.g., composing emails);Paraphrasing or finding synonyms;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Generic chatbot conversation;Solving math or logical problems;Analyze data;Generate art;Completing assignments;Learning (e.g., explaining complex concepts in simple terms);Answering questions about general knowledge;Summarizing long texts;Collecting references 
Contexts of LLM use: Work;Entertainment;Learning;Personal;Creative or artistic;Technical 
Prompt 1: I left. Bag of shredded sharp cheddar out for a few hours will it be ok?
Prompt 2: Hey Siri use ChatGPT create me a picture of a toaster on fire
Prompt 3: In  a study 1000 people were tested. Among the participants there were 5 men and 995 women. Jo is 23 years old and is finishing a degree in engineering. On Friday nights, Jo likes cruising with friends while listening to loud music and drinking beer. What is most likely? Jo is a man or Jo is a woman? 
Prompt 4: Is tired considered an emotion?
Prompt 5: How do you keep tortillas folded together when making quesadillas?
Prompt 6: From a psychology standpoint what do we know about people who have trouble accepting compliments and/or affection?
Prompt 7: How is root beer related to beer?
Prompt 8: Who said “it’s not the size of the dog in the fight, it’s the size of the fight in the dog.”?
Prompt 9: What does Al forno mean?
Prompt 10: Are you aware of the old Eliza program from the Commodore 64 that was somewhat of an early version of AI?